10 citations · 20 across the 10 of their papers we have counts for
11 papers · 1 filter
We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Alan Said, Maria Soledad Pera, Michael D. Ekstrand
In 2011, Xavier Amatriain sounded the alarm: recommender systems research was "doing it all wrong" [1]. His critique, rooted in statistical misinterpretation and methodological sho…
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
Robin Ungruh, Alejandro Bellogín, Dominik Kowald +1
Children are often exposed to items curated by recommendation algorithms. Yet, research seldom considers children as a user group, and when it does, it is anchored on datasets wher…
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
Robin Burke, Gediminas Adomavicius, Toine Bogers +7
Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…
Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children
Robin Ungruh, Maria Soledad Pera
Children come across various media items online, many of which are selected by recommender systems (RS) primarily designed for adults. The specific nature of the content selected b…
Matching Consumer Fairness Objectives & Strategies for RecSys
Michael D. Ekstrand, Maria Soledad Pera
The last several years have brought a growing body of work on ensuring that recommender systems are in some sense consumer-fair -- that is, they provide comparable quality of servi…
Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment
Monica Landoni, Maria Soledad Pera, Emiliana Murgia +1
In this manuscript, we argue for the need to further look at search as learning (SAL) with children as the primary stakeholders. Inspired by how children learn and considering the…